摘要
以系统的开发技术和方法以及相关背景知识,对系统进行详细的设计并给出了最大概率的分词方法,辩析了正向最大匹配的识别过程及正向最大匹配的识别过程,成功地应用条件随机场实现了汉语命名实体识别,从而证明该研究方法的有效性。
With the systematical development technology and the method and relevant background knowledge ,we designed the system in detail and gived the maximum probability of word segmentation method, analysed the positive maximum matching of identification process and the positive recogni- tion of maximum matching process, and we have been successfully used conditional random fields has realized Chinese word segmentation, and proved the effectiveness of the proposed methods.
出处
《江西科学》
2013年第5期675-678,共4页
Jiangxi Science
基金
河南省科技厅基础与前沿类项目(132300410200)
关键词
可视化工作室2008
条件随机场
汉语分词
命名实体识别
Visual Studio 2008, Conditional random fields, Chinese word segmentation, Named entityrecognition
